{"id":"W2162825559","doi":"10.1139/gen-2015-0017","title":"Molecular marker development and genetic diversity exploration by RNA-seq in <i>Platycodon grandiflorum</i>","year":2015,"lang":"en","type":"article","venue":"Genome","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre de Coopération Internationale en Recherche Agronomique pour le Développement; Rural Development Administration","keywords":"Biology; Genetic diversity; Microsatellite; Locus (genetics); Genetics; Allele; Molecular marker; Campanulaceae; Genetic marker; Gene; Botany; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002344609,0.0002827955,0.0004221443,0.0004768871,0.0003685006,0.000396714,0.0002422114,0.000271091,0.0006036073],"category_scores_gemma":[0.0003075823,0.0001829042,0.0004124258,0.0005187925,0.0001876133,0.0002389749,0.0002484017,0.0004830626,0.0002265004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999738,"about_ca_system_score_gemma":0.00029275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354529,"about_ca_topic_score_gemma":0.003344199,"domain_scores_codex":[0.9997913,0.00001295482,0.00001421802,0.000119657,0.00003877796,0.00002321054],"domain_scores_gemma":[0.9998541,0.0000364428,0.00004356356,0.000009663759,0.00003870266,0.00001750043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001354957,0.0000346097,0.0100175,0.0001550286,0.00003044762,0.0001436997,0.0002124481,0.0004789656,0.9760668,0.0001439367,0.0002146203,0.0123664],"study_design_scores_gemma":[0.0001514958,0.0006171364,0.477254,0.00009964712,0.0004961382,0.001058644,0.000967549,0.03047726,0.4546833,0.0006904623,0.03337283,0.000131636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785827,0.000737457,0.01417251,0.0001001411,0.00003673757,0.0001250521,0.004626161,0.0002122457,0.001406962],"genre_scores_gemma":[0.9271286,0.0006937252,0.05350179,0.0004717924,0.0000299169,0.0004273169,0.01467743,0.0002150412,0.002854394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001354529,"threshold_uncertainty_score":0.002693236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801079979098152,"score_gpt":0.2023223248828364,"score_spread":0.1843115250918549,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}